Why Wallet Discovery Matters

On Hyperliquid, over 500,000 wallets have traded perpetual futures. The vast majority are noise — small accounts, inactive wallets, or traders with no discernible edge. Somewhere in that sea of addresses are the consistently profitable traders whose activity can inform your own decisions.

HyperX's wallet discovery system indexes every wallet on Hyperliquid and provides an advanced filter system that lets you slice through the noise with precision. Instead of scrolling through thousands of addresses, you define exactly what you are looking for and let the system surface wallets that match.

This guide walks through the filter system in detail — what each metric means, which combinations produce the most useful results, and how to avoid common mistakes that lead traders to follow the wrong wallets.

Understanding the Filter System

The wallet discovery panel organizes filters into several categories. Filter action buttons sit at the top of the panel for quick access, and every filter can be combined with others for increasingly precise searches. Results update in real time as you adjust parameters.

Score and Tags

HyperX assigns performance scores to wallets based on a composite of trading metrics including consistency, risk management, and absolute returns. Scores provide a quick shorthand for wallet quality, but they are most useful as a starting filter rather than a final judgment.

Community-curated tags categorize wallets by trading style, asset preference, or notable characteristics — for example, a wallet might be tagged as a scalper, a swing trader, or a funding rate farmer. Tags are maintained by the HyperX community and evolve as wallet behavior changes. Filtering by tags is the fastest way to narrow your search to a specific type of trader.

ROI (Return on Investment)

ROI measures percentage returns relative to capital deployed. This metric normalizes performance across account sizes — a small account with 200% ROI may be more skilled than a large account with 20% ROI, or it may simply be taking more risk. ROI is most informative when combined with a minimum trade count filter. A 500% ROI from a single leveraged trade tells you nothing about skill. A 50% ROI across 200 trades tells you a great deal.

PnL (Profit and Loss)

PnL shows the absolute dollar amount gained or lost. Unlike ROI, it is not normalized by account size. PnL is most useful for identifying wallets that operate at meaningful scale — traders whose positions are large enough to reflect genuine conviction and market knowledge.

Win Rate

Win rate is the percentage of trades that closed in profit. This metric reveals consistency but says nothing about magnitude — a trader with a 40% win rate who makes 5x on winners and loses 0.5x on losers is more profitable than one with an 80% win rate making tiny gains and occasionally taking large losses. Always evaluate win rate alongside average win and loss size to understand whether a trader's edge comes from accuracy or asymmetry.

Volume

Trading volume indicates how actively a wallet trades and at what scale. Volume filters help you exclude inactive wallets and focus on traders who are actively participating in the market. A wallet consistently moving $1M+ in daily volume is almost certainly a dedicated trader, not someone experimenting with a small allocation.

Filter Strategies That Work

Individual filters are useful, but the real power of wallet discovery comes from combining multiple filters to define a precise trader profile. Below are tested filter strategies for common use cases.

Finding Consistent Scalpers

Scalpers make many trades with small, frequent profits. To find them:

Win rate: Minimum 60%. Scalping depends on high accuracy — a low win rate scalper bleeds from losses and fees.
Trade count: Minimum 200 trades (30-day timeframe). Fewer trades likely means they are not a true scalper.
Average hold time: Filter for short holding periods. Scalpers hold for minutes to hours, not days.
ROI: Minimum 10-20%. Scalping produces steady but moderate returns. A "scalper" with 500% ROI probably had large swing trades mixed in.
Tags: Filter by scalper-related community tags for faster results.

What to look for in results: Sort by win rate and look for smooth, steadily rising PnL curves — consistent upward steps with minimal drawdowns. Avoid wallets where most PnL came from one or two outsized trades.

Finding High-ROI Swing Traders

Swing traders hold positions for days to weeks, aiming for larger moves:

ROI: Minimum 50% (30-day) or 100%+ (90-day). Swing traders take concentrated, conviction-based positions.
Trade count: Range of 20-100 trades per 30 days. They trade less frequently but with larger size and longer holds.
PnL: Minimum $50,000+ in absolute PnL over 30 days to ensure they are operating at scale.
Win rate: Minimum 45-50%. Their winners tend to be much larger than losers, so a lower win rate is acceptable.

What to look for in results: Sort by ROI and examine PnL curves. Good swing traders show a stepped pattern — flat periods followed by sharp upward moves. The curve may have more visible drawdowns than a scalper's, but recovery should be consistent.

Finding Whales with High Win Rates

Large accounts that win consistently represent some of the highest-quality signal on the platform:

Volume: Set a high minimum — $5M+ over the selected timeframe ensures you are looking at accounts with significant capital.
Win rate: Set a minimum of 70%. This is aggressive, but the combination of large size and high accuracy filters out most noise.
Trade count: Set a minimum of 30 trades. This ensures the win rate is statistically meaningful rather than the result of a few lucky positions.
PnL: Set a positive minimum to exclude whales who are winning often but losing big on their losses.

What to look for in results: This combination typically returns fewer than ten wallets. Each is worth detailed analysis. Examine their asset distribution, leverage usage (conservative whales are more reliable), and drawdown history — how they manage losing periods reveals their risk discipline.

Finding Undervalued Wallets

Sometimes the most interesting wallets are those flying under the radar — not at the top of any single leaderboard but showing strong fundamentals:

Score: Filter for medium-high scores (top 20-30% but not top 5%). The very top gets the most copiers. Wallets ranked slightly below may offer better signal-to-noise.
ROI: Set a healthy minimum (30%+) but do not filter for the highest values.
Trade count: Set a minimum of 50+ to ensure a meaningful track record.
Win rate: Set a minimum of 55%.

What to look for in results: Look for wallets that rank well across multiple categories without topping any single one. A wallet in the 80th percentile for ROI, win rate, and trade count simultaneously is often more reliable than one in the 99th percentile for ROI but 30th percentile for everything else.

Sorting and Comparing Results

After applying filters, the results table can be sorted by any column. Sort by PnL to find traders operating at the largest scale, by ROI for the most capital-efficient traders, by win rate for the most consistent performers, or by trade count for the most active signal sources.

Each wallet row displays key performance indicators at a glance: PnL, ROI, win rate, trade count, and relevant tags. Use the summary metrics to create a shortlist, then drill into the detailed analysis page for your top 5-10 candidates.

Common Pitfalls to Avoid

High ROI with Few Trades

This is the single most common mistake in wallet discovery. A wallet showing 800% ROI sounds incredible until you see it was generated from three trades over two months. Three trades is not a strategy — it is luck, or at best a single thesis that happened to work. Always pair ROI filters with a meaningful minimum trade count. For 30-day analysis, require at least 30 trades. For 90-day analysis, require at least 80-100.

Survivorship Bias

The leaderboard naturally highlights wallets that have survived and profited. For every wallet showing a beautiful PnL curve, there are dozens that blew up and stopped trading. This creates an illusion that finding profitable wallets is easy. Be aware that past performance displayed on the leaderboard is inherently biased toward survivors. Mitigate this by looking at maximum drawdown and drawdown recovery time — these metrics reveal how much pain a wallet endured on the path to profitability.

Recency Bias

A wallet that made 90% of its PnL in the last week of a 90-day window is not the same as one that produced steady returns throughout the period. Always examine the PnL curve shape, not just the endpoint. A recent spike might indicate a trader who got lucky on a single volatile move rather than one with a repeatable edge.

Ignoring Market Conditions

A wallet that generated 200% ROI during a strong trending market may have no edge during ranging or bearish conditions. The most reliable wallets are those that produced positive returns across different market regimes — uptrends, downtrends, and sideways chop.

Over-Filtering

It is tempting to set every filter to its most restrictive value — high ROI, high win rate, high trade count, high volume, all at once. The result is usually zero matches or wallets that are already widely followed. Start with loose filters and tighten incrementally. If adding a filter eliminates most of your candidates, ask whether it is truly necessary for your strategy.

Mistaking Volume for Skill

High-volume wallets include market makers, arbitrageurs, and overactive traders who churn through capital without generating net returns. Always verify that high volume is accompanied by positive PnL and reasonable ROI before adding a wallet to your watchlist.

Building Your Discovery Workflow

Rather than running a single search and picking the top result, treat discovery as an ongoing process:

Run multiple filter profiles — Use different strategies each week. Scalper, swing trader, whale, and undervalued wallet filters each surface different types of alpha.
Cross-reference across timeframes — A wallet that appears in your filtered results across 7-day, 30-day, and 90-day timeframes is more reliable than one appearing in a single timeframe.
Track your findings — Add promising wallets to your watchlist and monitor them for a week before committing to copy trading. First impressions need to be confirmed by ongoing observation.
Refresh regularly — Run your filter searches weekly. A top performer three months ago may have changed strategy or started losing.
Use tags as starting points — Community-curated tags encode collective knowledge about wallet behavior. Starting with a tag filter and refining with quantitative metrics is often faster than building a purely numeric filter from scratch.

The wallet discovery system is a precision search engine for trader behavior. The quality of what you find depends on the quality of the questions you ask through your filter combinations. Master the filters, understand the metrics, stay aware of the pitfalls, and the 500,000+ indexed wallets become a source of continuous, actionable trading intelligence.